Modelling the underlying principles of human aesthetic preference in evolutionary art

Abstract

Our understanding of creativity is limited, yet there is substantial research trying to mimic human creativity in artificial systems and in particular to produce systems that automatically evolve art appreciated by humans. We propose here to study human visual preference through observation of nearly 500 user sessions with a simple evolutionary art system. The progress of a set of aesthetic measures throughout each interactive user session is monitored and subsequently mimicked by automatic evolution in an attempt to produce an image to the liking of the human user.

Publication DOI: https://doi.org/10.1080/17513472.2012.679489
Divisions: ?? 50811700Jl ??
College of Engineering & Physical Sciences
Additional Information: This is an electronic version of an article published in Ekárt, A. , Joó, A., Sharma, D., & Chalakov, S. (2012). Modelling the underlying principles of human aesthetic preference in evolutionary art. Journal of mathematics and the arts, 6(2-3), 107-124. Journal of mathematics and the arts is available online at: www.tandfonline.com/10.1080/17513472.2012.679489
Uncontrolled Keywords: aesthetic measure,human preference modelling,evolutionary art,genetic programming,interactive versus automatic evolution
Publication ISSN: 1751-3480
Last Modified: 28 Mar 2024 08:11
Date Deposited: 13 Aug 2012 09:38
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2012-06
Published Online Date: 2012-06-14
Authors: Ekárt, Anikó (ORCID Profile 0000-0001-6967-5397)
Joó, András
Sharma, Divya
Chalakov, Stayko

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